Research of Localization Algorithm of Internet of Vehicles Based on Intelligent Transportation

Abstract

In the Internet of Vehicles, the real-time localization of vehicles is a very significant problem. The relative position between vehicles as well as between vehicle and Road Side Unit (RSU) is the localization data we are in more need of. When compared with the localization algorithm, the non-ranging technology is mainly adopted. In the research of the non-ranging technology, DVHop algorithm is the algorithm studied the most at present but there still exists problems such as major error of localization. Therefore, we have tried to improve it with the chemical reaction optimization and compare it with the original algorithm. Through the simulation experiment, the localization error of the improved algorithm is far lower than that of the original DVHop algorithm, largely enhancing the precision of localization. These information are valuable virtual assets which will provide more reliable basis for post-period data treatment and decision-making analysis.